• DocumentCode
    68837
  • Title

    Rethinking the Machines in Which We Live: A Multidisciplinary Course in Architectural Robotics

  • Author

    Kapadia, Apoorva D. ; Walker, Ian D. ; Green, Keith Evan ; Manganelli, Joseph C. ; Houayek, Henrique ; James, Adrian M. ; Kanuri, Venkata Krishna Teja ; Mokhtar, Tarek ; Siles, Ivan ; Yanik, Paul

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Clemson Univ., Clemson, SC, USA
  • Volume
    21
  • Issue
    3
  • fYear
    2014
  • fDate
    Sept. 2014
  • Firstpage
    143
  • Lastpage
    150
  • Abstract
    Attempting to bridge the educational gap between robotics and other disciplines is always challenging, but it is likely to provide interesting results. This point is exemplified in a graduate-level class, architectural robotics, enrolling students from electrical, computer, and mechanical engineering as well as human factors psychology and architecture [1]. Architectural robotics is formally defined in [2] as "intelligent and adaptable built environments (featuring embedded robotic components) that sense, plan, and act." In [2], which sets out a vision for architectural robotics, Gross and Green assert that "perhaps the greatest challenge for architectural robotics is defining the community" and ask, "who is cultivating this line of research?" We believe robotics professionals should play a major role in defining and leading this emerging field. The class discussed in this article is aimed at defining the scope of the field and its community from a robotics perspective.
  • Keywords
    control engineering education; educational courses; robots; architectural robotics; embedded robotic components; graduate-level class; multidisciplinary course; robotics professionals; Computer architecture; Education; Human factors; Mechanical engineering; Robot sensing systems; Service robots;
  • fLanguage
    English
  • Journal_Title
    Robotics & Automation Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9932
  • Type

    jour

  • DOI
    10.1109/MRA.2013.2287456
  • Filename
    6843357